SYSTEMS AND METHODS FOR USE IN DETERMINING RIGHT-OF-WAY TURN ALLOCATION

    公开(公告)号:US20240321101A1

    公开(公告)日:2024-09-26

    申请号:US18187288

    申请日:2023-03-21

    IPC分类号: G08G1/16 H04W4/46

    CPC分类号: G08G1/163 G08G1/166 H04W4/46

    摘要: Provided herein is a system for use in determining right-of-way. The system includes a host vehicle at or approaching an intersection, and the host vehicle includes a transceiver configured for vehicle-to-vehicle communication and a control unit. The control unit is configured to receive a local map of an area surrounding the intersection; receive, via the transceiver, a first signal from at least one client vehicle, wherein the first signal indicates the at least one client vehicle is at or approaching the intersection; determine, based upon a set of rules, that the host vehicle is an arbitrator, wherein the arbitrator assigns a priority value for right-of-way to each vehicle at or approaching the intersection; and transmit, via the transceiver, a second signal to the at least one client vehicle, wherein the second signal includes the assigned priority values for each vehicle at or approaching the intersection.

    INFORMATION PROCESSING SYSTEM
    4.
    发明公开

    公开(公告)号:US20240265810A1

    公开(公告)日:2024-08-08

    申请号:US18507278

    申请日:2023-11-13

    发明人: Satoshi UNO

    IPC分类号: G08G1/16 G08G1/01

    摘要: An information processing system for estimating whether the activation of a collision warning in a predetermined target vehicle is reproduced in another target vehicle, comprising: an acquisition unit for acquiring target vehicle data, which is information about the target vehicle; and a target of the predetermined target vehicle. By inputting the target vehicle data acquired by the acquisition unit into the collision warning reproduction model generated by extracting the feature amount that contributes to the reproduction of the collision warning from the vehicle data, it is possible to determine whether the collision warning will be reproduced in other target vehicles and a reproduction estimation unit for estimating.

    Sensor localization
    6.
    发明授权

    公开(公告)号:US12046132B2

    公开(公告)日:2024-07-23

    申请号:US17528563

    申请日:2021-11-17

    摘要: First feature points can be determined which correspond to pose-invariant surface model properties based on first data points included in a first lidar point cloud acquired by a sensor. A three-dimensional occupancy grid can be determined based on first data points included in the first lidar point cloud. Dynamic objects in a second lidar point cloud acquired by the sensor can be determined based on the occupancy grid. Second feature points can be determined which correspond to pose-invariant surface model properties based on second data points included in the second lidar point cloud not including the dynamic objects. A difference can be determined between corresponding feature points included in the first feature points and the second feature points. A traffic infrastructure system can be alerted based on the difference exceeding a threshold.

    METHOD AND ELECTRONIC MONITORING SYSTEM FOR IDENTIFYING A DETRIMENTAL TRAFFIC SITUATION

    公开(公告)号:US20240029566A1

    公开(公告)日:2024-01-25

    申请号:US18255431

    申请日:2021-11-23

    IPC分类号: G08G1/16

    CPC分类号: G08G1/163 G08G1/166

    摘要: A method and electronic monitoring system for identifying a detrimental traffic situation of a first road user with a second road user by acquiring position information for ascertaining a position of the first road user and uncertainty information for ascertaining a position detection uncertainty of the first road user, acquiring position information for ascertaining a position of the second road user and uncertainty information for ascertaining a position detection uncertainty of the second road user, converting the uncertainty information of the first road user into a first covariance matrix for describing a location-dependent probability of presence of the first road user in connection with the position of the first road user, converting the uncertainty information of the second road user into a second covariance matrix for describing a location-dependent probability of presence of the second road user in connection with the position of the second road user, and using the first covariance matrix and the second covariance matrix to determine the presence of an adverse traffic situation between the first road user and the second road user.